Dr. Saed Talib Amer

Dr. Saed Talib Amer

Saed T. Amer, Ph.D.   

Assistant Professor | Department of Industrial and Systems Engineering (ISYE)

Dr. Saed Amer is an assistant professor at Khalifa University of Science and Technology with research focus on Computer Integrated Manufacturing and Robot Controlled Nondestructive Testing (NDT). Dr. Amer also worked on Sustainability Metrics research and other systematic measures to enforce Engineering sustainability education. Previous work included Seat Comfort Analyses for Boeing and Robotics Solutions for Unexploded Ordnance (UXO) Remediation. Finally, Dr. Amer worked on simulation solutions for Hybrid Renewable Energy research.

Dr. Amer earned his Doctorate of Philosophy in Computer and Information Systems Engineering in August, 2012 from Tennessee State University, Nashville, TN, USA.

 

Address: P.O.Box 127788, Abu Dhabi, UAE

Tel.  +971 (2) 401-8060

Email: saed.amer@ku.ac.ae

  • Doctorate of Philosophy in Computer and Information Systems Engineering, August, 2012, Tennessee State University, USA.
  • Masters of Engineering in Mechanical Engineering with concentration in Manufacturing Engineering; Dec. 2007, Tennessee State University, USA
  • Bachelor of Science in Mechanical Engineering, May, 2005, Tennessee State University, USA.
  • Introduction to Industrial and Systems Engineering
  • Lean Manufacturing
  • Modern Methods of Manufacturing
  • Quality Control & Reliability
  • Production, Operations and Inventory Management
  • Product Design and Development
  • Computer Integrated Manufacturing,
    • Manufacturing Systems
    • Manufacturing Process Optimization
    • Flexible Manufacturing
    • Cognitive Manufacturing Engineering
  • Robotics,
  • Seat Comfort and Human Machine Interaction Optimization
  • Hybrid Renewable Energy.
  • Deveci, T., Dalton, D., Hassan, A., Amer, S., Cubero, S., “Project-X: An Initiative to Increase Student Engagement through Laptops” Volume: 9, Issue: 1, January – 2018, Pages: 1 – 21.
  • Amer, S., Mohammed, J., “Computer Aided Engineering for Hands-On Sustainability Education” Review of Business and Technology Research, Vol. 14, No. 2, ISSN 1941-9414, 2017, Pages: 166 -173.
  • Amer, S., Mohammed, J., “Project Focus Retention by CAD Assimilating in Engineering Education” Review of Business and Technology Research, Vol. 14, No. 2, ISSN 1941-9414, 2017, Pages: 159 -165.
  • Zarkani, H., Amer, S., “Robotic Trajectory Planning Approaches in Non-Destructive Testing for Inspecting Defects Using Ultrasonic and Infrared Thermography” Review of Business and Technology Research, Vol. 14, No. 2, 2017, ISSN 1941-9414.
  • Amer, S., Mohammed, J., “Teaching Innovations in the Introductory to Engineering and Design Courses”, Review of Business and Technology Research, Vol. 13, No. 2, ISSN 1941-9414, 2016, Pages: 37 – 43.
  • Amer, S., Mohammed, J., “Technology Implementation in the Introduction to Engineering Classrooms”, Review of Business and Technology Research, Vol. 13, No. 2, ISSN 1941-9414, 2016, Pages: 44 – 50.
  • Mohammed, J., Amer, S, “Intellectual Development for Sustainability in Design and Manufacturing (Paper ID 15514) for the 123rd American Society of Engineering Education annual conference and Exposition , New Orleans, LA, USA (June, 2016)
  • Amer, S., Mohammed, J., “A Fuzzy QFD To Recognize The Fundamentals Of Sustainability Education”, Review of Business and Technology Research, Vol. 11, ISSN 1941-9414, 2015.
  • Amer, S., Onyebueke, L., “Hybrid Energy Harvesting System Modeling and Simulation for Aircraft’s Passenger Service Unit,” Review of Business and Technology Research 10, No. 1, ISSN 1941-9414, 2014.
  • Amer, S., Onyebueke, L., “Conversion Solution for Integrating Multiple Energy Sources for Grid-Connected Hybrid Renewable Energy Systems,” Review of Business and Technology Research 10, No. 1, ISSN 1941-9414, 2014.
  • Amer, S., Onyebueke, L., “Seat Comfort Prediction Using The Integration Of Three Analysis Methods”, Journal of Global Information Technology, No.1&2, pp 1-11. 2013
  • Amer, S. and Onyebueke, L., “The Integration of Quality Function Deployment and Computer Aided Design in Seat Comfort Design and Analyses,” ASME 2013 International Mechanical Engineering Congress & Exposition. IMECE2013-64832, San Diego, CA, USA November 15-21, 2013.
  • Amer, S., Onyebueke, L., “Computer Aided Design Validation of the Quality Function Deployment for Seat Comfort Prediction,” Review of Business and Technology Research Vol. 9, No. 1, ISSN 1941-9414, 2013.